• Korean Journal of Radiology
• /
• 제23권9호
• /
• pp.854-865
• /
• 2022

Photon-counting detector (PCD) CT is a new CT technology utilizing a direct conversion X-ray detector, where incident X-ray photon energies are directly recorded as electronical signals. The design of the photon-counting detector itself facilitates improvements in spatial resolution (via smaller detector pixel design) and iodine signal (via count weighting) while still permitting multi-energy imaging. PCD-CT can eliminate electronic noise and reduce artifacts due to the use of energy thresholds. Improved dose efficiency is important for low dose CT and pediatric imaging. The ultra-high spatial resolution of PCD-CT design permits lower dose scanning for all body regions and is particularly helpful in identifying important imaging findings in thoracic and musculoskeletal CT. Improved iodine signal may be helpful for low contrast tasks in abdominal imaging. Virtual monoenergetic images and material classification will assist with numerous diagnostic tasks in abdominal, musculoskeletal, and cardiovascular imaging. Dual-source PCD-CT permits multi-energy CT images of the heart and coronary arteries at high temporal resolution. In this special review article, we review the clinical benefits of this technology across a wide variety of radiological subspecialties.

• Journal of the Korean Society for Industrial and Applied Mathematics
• /
• 제20권3호
• /
• pp.175-202
• /
• 2016

Ultrasound imaging is a widely used tool for visualizing human body's internal organs and quantifying clinical parameters. Due to its advantages such as safety, non-invasiveness, portability, low cost and real-time 2D/3D imaging, diagnostic ultrasound industry has steadily grown. Since the technology advancements such as digital beam-forming, Doppler ultrasound, real-time 3D imaging and automated diagnosis techniques, there are still a lot of demands for image quality improvement, faster and accurate imaging, 3D color Doppler imaging and advanced functional imaging modes. In order to satisfy those demands, mathematics should be used properly and effectively in ultrasound imaging. Mathematics has been used commonly as mathematical modelling, numerical solutions and visualization, combined with science and engineering. In this article, we describe a brief history of ultrasound imaging, its basic principle, its applications in obstetrics/gynecology, cardiology and radiology, domestic-industrial products, contributions of mathematics and challenging issues in ultrasound imaging.

• Journal of the Korean Data and Information Science Society
• /
• 제26권1호
• /
• pp.179-185
• /
• 2015

최근 고가의료장비의 도입으로 진단기술이 빠르게 발전하고 있으나 이에 따른 건강보험 재정의 부담이 크게 늘어 이에 대한 적절한 관리와 효율적 운영에 대한 정책이 필요하다. 이에 따라 본 연구에서는 의사결정나무분석 모형을 사용하여 CT 의료장비의 검사빈도에 영향을 미치는 요인을 파악하여 효율적 운영에 대한 방안을 제시한다.

• Korean Journal of Radiology
• /
• 제25권7호
• /
• pp.662-672
• /
• 2024

Since the emergence of the first photon-counting computed tomography (PCCT) system in late 2021, its advantages and a wide range of applications in all fields of radiology have been demonstrated. Compared to standard energy-integrating detector-CT, PCCT allows for superior geometric dose efficiency in every examination. While this aspect by itself is groundbreaking, the advantages do not stop there. PCCT facilitates an unprecedented combination of ultra-high-resolution imaging without dose penalty or field-of-view restrictions, detector-based elimination of electronic noise, and ubiquitous multi-energy spectral information. Considering the high demands of orthopedic imaging for the visualization of minuscule details while simultaneously covering large portions of skeletal and soft tissue anatomy, no subspecialty may benefit more from this novel detector technology than musculoskeletal radiology. Deeply rooted in experimental and clinical research, this review article aims to provide an introduction to the cosmos of PCCT, explain its technical basics, and highlight the most promising applications for patient care, while also mentioning current limitations that need to be overcome.

• 대한방사선기술학회지:방사선기술과학
• /
• 제16권2호
• /
• pp.39-44
• /
• 1993

• 한국음향학회지
• /
• 제42권5호
• /
• pp.429-440
• /
• 2023

이 연구는 초음파 광학 영상 기반의 다중 모달 영상 기술에 대한 최신 연구 동향과 응용 가능성에 대해 조사하였다. 초음파 영상은 실시간 영상 기능을 가지고 있으며 인체에 상대적으로 안전한 특성으로 인해 의료 분야에서 다양한 질병의 진단에 사용되고 있다. 그러나 초음파 영상은 해상도가 낮은 한계가 있어 진단 정확도를 향상시키기 위해 다른 광학 영상과의 결합을 통한 다중 모달 영상 기술 개발 연구가 진행되고 있다. 특히 초음파 광학 영상 기반의 다중 모달 영상 기술은 각각의 영상 기법의 장점을 극대화하고 단점을 보완함으로써 질병 진단 정확도를 향상시킬 수 있는 수단으로 사용되고 있다. 이러한 기술은 초음파의 실시간 영상 기능과 광간섭 단층 영상 융합 기술, 초음파 광음향 다중 모달 영상 기술, 초음파 형광 다중 모달 영상 기술, 초음파 형광 시정수 다중 모달 영상 기술 및 초음파 분광 다중 모달 영상 기술 등 다양한 형태로 제안되고 있다. 본 연구에서는 이러한 초음파 광학 영상 기반의 다중 모달 영상 기술의 최신 연구 동향을 소개하고, 의학 및 바이오 분야에서의 응용 가능성을 조사하였다. 이를 통해 초음파와 광학 기술의 융합이 어떻게 진행되고 있는지에 대한 통찰력을 제공하고, 의료 분야에서의 진단 정확도 향상을 위한 새로운 접근 방식에 대한 기반을 마련하였다.

• 전자공학회논문지 IE
• /
• 제46권3호
• /
• pp.62-67
• /
• 2009

본 논문에서는 퍼지논리시스템을 이용하여 ROC 곡선을 설계하였다. ROC 곡선은 진단평가를 위하여 이용되고, ROC 곡선을 평가하는 진단자는 초보 진단자를 선정하였다. 학습을 통한 ROC 곡선에 관한 진단능력을 평가하기 위하여 흉부 X-선 사진이 사용되었다. 진단을 위해 잡음과 신호(병변)을 갖는 X-선 필름을 사용하였다. 남성과 여성 간의 진단능력의 차이에 관하여 나타난 결과는 여성보다 남성이 우세한 것으로 나타났으나 그 차이는 작은 것으로 나타났다.

• Imaging Science in Dentistry
• /
• 제36권2호
• /
• pp.111-116
• /
• 2006

PET/CT is a new imaging technology that combines high-quality Positron Emission Tomography (PET) and Computed Tomography (CT). This imaging provides simultaneous anatomical and metabolic information. Therefore PET/CT is useful diagnostic modality for early detection of malignant tumor, accurate staging, decision on therapeutic plan, monitoring response to therapy and rapid detection of recurrence. We report oral and maxillofacial cancers diagnosed by using PET/CT and the usefulness of PET/CT in the evaluation of postoperative recurrence.

• Clinical Endoscopy
• /
• 제57권1호
• /
• pp.11-17
• /
• 2024

Although magnifying endoscopy with narrow-band imaging is the standard diagnostic test for gastric cancer, diagnosing gastric cancer using this technology requires considerable skill. Artificial intelligence has superior image recognition, and its usefulness in endoscopic image diagnosis has been reported in many cases. The diagnostic performance (accuracy, sensitivity, and specificity) of artificial intelligence using magnifying endoscopy with narrow band still images and videos for gastric cancer was higher than that of expert endoscopists, suggesting the usefulness of artificial intelligence in diagnosing gastric cancer. Histological diagnosis of gastric cancer using artificial intelligence is also promising. However, previous studies on the use of artificial intelligence to diagnose gastric cancer were small-scale; thus, large-scale studies are necessary to examine whether a high diagnostic performance can be achieved. In addition, the diagnosis of gastric cancer using artificial intelligence has not yet become widespread in clinical practice, and further research is necessary. Therefore, in the future, artificial intelligence must be further developed as an instrument, and its diagnostic performance is expected to improve with the accumulation of numerous cases nationwide.

• 대한방사선기술학회지:방사선기술과학
• /
• 제42권4호
• /
• pp.285-290
• /
• 2019

Magnetic resonance imaging is a technique specialized in soft tissue imaging with high contrast resolution without in vivo ionization and has been widely used in various clinical settings. In particular, the recent increase in social stress factors has been used in the diagnosis of pituitary adenoma, the incidence increases rapidly. Recently, due to the development of magnetic resonance imaging, it is possible to diagnose micro pituitary adenoma, but despite the use of contrast medium, there has been a difficulty in diagnosing the pituitary adenoma due to its small size and noise. In order to solve this problem, a proposed method of separating signal components image and noise components image from a measured image is applied, and the improvement of diagnostic efficiency is attempted by removing noise. As a result, it was confirmed that the image quality was improved as a whole by applying SNR for 30 subjects data. It is expected that this study will be useful as a pre-processing method for improving the image quality and developing diagnostic indicators of pituitary adenoma.